code: def __getitem__(self, item: int):
      tuple_ = self._data_reader[item]
      return {
          name: data for name, data in zip(self._input_names, tuple_)
      }
  
file_path: nebuly/optimization/nebullvm/nebullvm/operations/optimizations/compilers/quantizations/tvm.py
imports: from typing import List, Sequence, Any
  from nebullvm.config import QUANTIZATION_DATA_NUM
  from nebullvm.core.models import QuantizationType
  from nebullvm.optional_modules.tvm import relay, ToMixedPrecision
  from nebullvm.tools.data import DataManager
  from nebullvm.tools.transformations import MultiStageTransformation, HalfPrecisionTransformation
label_desc: Use image node_id 2 for calling the TVMCalibrator obj's underlying member method code with example usage: obj.__getitem__(item) and returns: unknown